Model Penentuan LOT Gabungan Pemasok - Pembeli Dengan Permintaan Probabilistik

Jauhari, Wakhid Ahmad (2007) Model Penentuan LOT Gabungan Pemasok - Pembeli Dengan Permintaan Probabilistik. Masters thesis, Institut Teknologi Sepuluh November.

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Abstract

Seiring dengan berkembangnya paradigma bisnis modern saat ini, setiap perusahaan dituntut untuk dapat bersaing ketat dengan perusahaan lainnya. Persaingan tidak lagi terjadi antarperusahaan, tetapi sudah berubah menjadi persaingan antarsupply chain. Di dalam lingkungan kompetitif seperti itu, salah satu kunci sukses bagi suatu bisnis sangat bergantung pada kemampuan pihak manajemen mengelola jaringan bisnisnya. Pada penelitian ini akan dikembangkan model penentuan lot gabungan atau JELS (Joint Economic Lot Size) dengan permintaan probabilistik dan ukuran pengiriman sama. Pada model ini, pembeli menginginkan pengiriman dilakukan sebanyak n kali dengan ukuran lot pengiriman q. Pembeli akan memesan sebesar nq dan pemasok akan memproduksi dalam ukuran batch produksi mq. Pada penelitian ini dikembangkan suatu algoritma untuk memecahkan permasalahan yang ada. Selain itu, juga dilakukan analisis sensitivitas untuk mengetahui pengaruh perubahan parameter terhadap perilaku model. Kemudian, untuk melihat performansi model analitik yang telah dibuat, hasilnya akan dibandingkan dengan model simulasi. Pada penelitian ini dapat dibuktikan bahwa model persediaan terintegrasi dapat menghasilkan penghematan total biaya persediaan yang signifikan jika dibandingkan dengan model independen. Selain itu, perubahan dari model deterministik ke model probabilistik akan menghasilkan total biaya persediaan yang lebih tinggi.
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One of the most significant paradigm shifts in modern business management is that individual businesses no longer compete as solely autonomous entities, but rather as supply chains. Business management has entered the era of internetwork competition. Instead of brand versus brand or store versus store, competition now occurs between supply chains. In this emerging competitive environment, the ultimate success of a business depends on management's ability to integrate the company's intricate network of business relationships. With the growing focus on supply chain management, companies are increasingly realizing that inventories across the entire supply chain can be managed more efficiently through greater cooperation and better coordination. We consider a two-layer supply chain model consisting of a vendor and a buyer. The buyer observes probabilistic demand and orders lots from the vendor. The vendor manufactures the requested product in production batches. Each production batch is shipped to the buyer in lots. We consider a situation in which there are multiple deliveries for one order, and the vendor produces in an integer multiple of the delivery quantity; hence, an order can be split into a number of production runs. A solution procedure is suggested for solving the proposed model, and numerical examples are used to illustrate the benefits of integration. A sensitivity analysis is performed to explore the effects of key parameters on lot size, safety stock, and expected total inventory cost. We also perform a simulation study to examine the performance of the analytical model in a real-world problem. Numerical results show that the integrated inventory model always results in savings in total joint cost. Meanwhile, moving from a deterministic model to a probabilistic model always results in a higher total joint cost.

Item Type:	Thesis (Masters)
Additional Information:	RTI 658.5 Jau m
Uncontrolled Keywords:	supply chain, Joint Economic J.ot Size, permintaan probabilistik, lot pemesanan, batch produksi, analisis sensitivitas, model simulasi, model deterministik, model probabilistik, supply chain, sensitivity analysis, lot size, expected total inventory cost, simulation study, deterministic model, probabilistic model.·
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD38.5 Business logistics--Cost effectiveness. Supply chain management. ERP
Divisions:	Faculty of Industrial Technology > Industrial Engineering > 26101-(S2) Master Thesis
Depositing User:	magang .
Date Deposited:	28 Sep 2026 08:27
Last Modified:	28 Sep 2026 08:27
URI:	http://repository.its.ac.id/id/eprint/144987

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